Science Data Repositories (SDRs) have been recognized as both critical to science, and undergoing a fundamental change. A websample study was conducted of 100 SDRs. Information on the websites and from administrators of the SDRs was reviewed to determine salient characteristics of the SDRs, which were used to classify SDRs into groups using a combination of cluster analysis and logistic regression. Characteristics of the SDRs were explored for their role in determining groupings and for their relationship to the success of SDRs. Four of these characteristics were identified as important for further investigation: whether the SDR was supported with grants and contracts, whether support comes from multiple sponsors, what the holding size of the SDR is and whether a preservation policy exists for the SDR. An inferential framework for understanding SDR composition, guided by observations, characteristic collection and refinement and subsequent analysis on elements of group membership, is discussed. The development of SDRs is further examined from a business standpoint, and in comparison to its most similar form, institutional repositories. Because this work identifies important characteristics of SDRs and which characteristics potentially impact the sustainability and success of SDRs, it is expected to be helpful to SDRs.
Objectives: Quality improvement is a critical mechanism to manage public health agency performance and to strengthen accountability for public funds. The objective of this study was to evaluate a relatively new quality improvement resource, the Public Health Quality Improvement Exchange (PHQIX), a free online communication platform dedicated to making public health quality improvement information accessible to practitioners. Methods:We conducted an internet-based survey of registered PHQIX users (n ¼ 536 respondents) in 2013 and key informant interviews with PHQIX frequent users (n ¼ 21) in 2014, in the United States. We assessed use of the PHQIX website, user engagement and satisfaction, communication and knowledge exchange, use of information, and impact on quality improvement capacity and accreditation readiness.Results: Of 462 respondents, 369 (79.9%) browsed quality improvement initiatives, making it the most commonly used site feature, and respondents described PHQIX as a near-unique source for real-world quality improvement examples. Respondents were satisfied with the quality and breadth of topics and relevance to their settings (average satisfaction scores, 3.9-4.1 [where 5 was the most satisfied]). Of 407 respondents, 237 (58.2%) said that they had put into practice information learned on PHQIX, and 209 of 405 (51.6%) said that PHQIX had helped to improve quality improvement capacity. Fewer than half of respondents used the commenting function, the Community Forum, and the Ask an Expert feature.Conclusions: Findings suggest that PHQIX, particularly descriptions of the quality improvement initiatives, is a valued resource for public health practitioners. Users reported sharing information with colleagues and applying what they learned to their own work. These findings may relate to other efforts to disseminate quality improvement knowledge.
This commentary introduces the Patient-Centered Clinical Decision Support (PCCDS) Learning Network, which is collaborating with AcademyHealth to publish “Better Decisions Together” as part of eGEMs. Patient-centered clinical decision support (CDS) is an important vehicle to address broad issues in the U.S. health care system regarding quality and safety while also achieving better outcomes and better patient and provider satisfaction. Defined as CDS that supports individual patients and their care givers and/or care teams in health-related decisions and actions, PCCDS is an important step forward in advancing endeavors to move patient-centered care forward. The PCCDS Learning Network has developed a framework, referred to as the Analytic Framework for Action (AFA), to organize thinking and activities around PCCDS. A wide array of activities the PCCDS Learning Network is engaging in to inform and connect stakeholders is discussed.
Introduction:The Beacon Communities for Public Health (BCPH) project was launched in 2011 to gain a better understanding of the range of activities currently being conducted in population- and public health by the Beacon Communities. The project highlighted the successes and challenges of these efforts with the aim of sharing this information broadly among the public health community.Background:The Beacon Community Program, designed to showcase technology-enabled, community-based initiatives to improve outcomes, focused on: building and strengthening health information technology (IT) infrastructure and exchange capabilities; translating investments in health IT to measureable improvements in cost, quality, and population health; and, developing innovative approaches to performance measurement, technology, and care delivery.Methods:Four multimethod case studies were conducted based on a modified sociotechnical framework to learn more about public health initiative implementation and use in the Beacon Communities. Our methodological approach included using document review and semistructured key informant interviews. NACCHO Model Practice Program criteria were used to select the public health initiatives included in the case studies.Findings:Despite differences among the case studies, common barriers and facilitators were found to be present in all areas of the sociotechnical framework application including structure, people, technology, tasks, overarching considerations, and sustainability. Overall, there were many more facilitators (range = 7–14) present for each Beacon compared to barriers (range = 4–6).Discussion:Four influential promising practices were identified through the work: forging strong and sustainable partnerships; ensuring a good task-technology fit and a flexible and iterative design; fostering technology acceptance; and, providing education and demonstrating value.Conclusions:A common weakness was the lack of a framework or model for the Beacon Communities evaluation work. Sharing a framework or approach to evaluation at the beginning of implementation made the work more effective. Supporting evaluation to inform future implementations is important.
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